An emotional signature of political ideology: Evidence from two linguistic content-coding studies |
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| Affiliation: | 1. North Dakota State University, United States;2. The University of Texas at Austin, United States;3. Knowledge Media Research Center, Tübingen, Germany;1. ICEI – PUC Minas, Computer Science Department, Audio-Visual Information Proc. Lab. (VIPLAB), Brazil;2. Universidade Federal de Minas Gerais, Computer Science Department, Brazil;1. Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China;2. Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China;1. Department of Computer Science and Engineering, SCAD College of Engineering and Technology, Cheranmahadevi, Tamil Nadu, India;2. Department of Computer Science and Engineering, National Engineering College, Kovilpatti, Tamil Nadu, India;3. Vin Solutions, Tirunelveli, Tamil Nadu, India |
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| Abstract: | Approach–avoidance frameworks for political ideology have been proposed with increasing frequency. Following such frameworks and a wider motivation–emotion literature, it was hypothesized that political ideology would be predictive of the extent to which anxiety (avoidance-related) versus anger (approach-related) words would be evident in written texts. Study 1 sampled user-generated text within conservative versus liberal Internet chat rooms. After correcting for the greater normative frequency of anger words, a crossover ideology by emotion type interaction was found. Study 2 found a parallel interaction among college students writing about a non-political topic. Political ideology thus has a discrete emotional signature, one favoring anxiety among conservatives and anger among liberals. |
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| Keywords: | Political ideology Approach Avoidance Linguistic analysis Anxiety Anger |
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